Learning econometrics should be a more accessible and interactive experience.
An introduction to econometrics with Python and AI in the cloud
A Data Science Repository to Study GeoSpatial Development in Bolivia
A public access platform for the analysis, monitoring, and evaluation of sustainable regional development in Cambodia
Computational data science notebooks and apps to foster development studies.
Through the lens of a multiscale geographically weighted regression (MGWR) and an updated inference framework, we assess the spatial scale at which political and socioeconomic factors affect violence.
This paper introduces a user-friendly geocomputational notebook that illustrates how to process and analyze satellite NTL images.
An interactive geocomputational notebook to study spatial clusters and outliers
A geocomputational notebook to study spatial heterogeneity using the GWR and MGWR frameworks.
An introduction to how to construct, explore, and export spatial connectivity structures (W) using Python.